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Software / Forward Deployed Engineer

Wise Skulls Corp.

Hybrid in Chicago, Illinois • Today

Easy Apply

Contract

Depends on Experience

Forward Deployed Engineer

NTT DATA, Inc.

Remote or New Jersey • Today

Full-time

USD 155,700.00 - 259,500.00 per year

Forward Deployed Engineer

Kyndryl

Remote or Dallas, Texas • Today

Full-time

USD 73,440.00 - 139,680.00 per year

Forward Deployed Engineer

EBH Enterprises dba DataMinr

Remote or New York, New York • Today

Full-time

USD 165,000.00 - 220,000.00 per year

Forward Deployed Engineer

Hightouch

Remote • 12d ago

Full-time

USD 150,000.00 - 225,000.00 per year

Forward Deployed Engineer

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$170000 - $250000

Forward Deployed Engineer

Accion Labs

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Forward Deployed Engineer

Pro Integrate

Remote or New York, New York • Today

Easy Apply

Full-time

$$300K - $650K/yr compensation

Forward Deployed Engineer

BAMM

Remote • 3d ago

Easy Apply

Full-time

Depends on Experience

Forward Deployed Engineer

Robots and Pencils

Remote • Today

Full-time

USD 177,375.00 - 209,625.00 per year

Forward Deployed Engineer

Atlas Technica

Remote • Today

Full-time

Forward Deployed Solution Engineer - Applied AI FDE

ServiceNow, Inc.

Remote or Santa Clara, California • Today

Full-time

USD 201,300.00 - 352,300.00 per year

Forward Deployment Engineer

JLL

Remote or Chandler, Arizona • Today

Full-time

USD 112,000.00 - 140,000.00 per year

Forward Deployed Engineer

SHI International Corporation

Remote or Texas • Today

Full-time

Forward Deployed Engineer

Roboflow, Inc

Remote or New York, New York • Today

Full-time

USD 180,000.00 - 250,000.00 per year

Forward Deployed Engineer

Smart Synergies

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

Forward Deployed Engineering
AI Agents
Agentic AI
Claude Agent SDK
Model Context Protocol
MCP
MCP Servers
AI Agent Development
Python
Node.js
.NET
Large Language Models
LLMs
Retrieval-Augmented Generation
RAG
AI Integrations
REST APIs
Vector Databases

Summary

JD:

Client is embedding AI agents directly into Legal systems and the infrastructure that runs them.

You'll own the Legal business line as a one-person engineering team. The Center of Excellence, part of the central AI organization, provides the methodology, platform, and proven patterns; Legal provides the problems, the subject matter experts, and the appetite for change. Your job is to turn that combination into shipped agents and MCP integrations, then hand mature work off to platform and operations teams as it stabilizes.

We expect engineers at this level to treat AI tools as a core part of their workflow, not an occasional aid. Your leverage comes from the hooks, skills, workflows, and automations you build to ship safely into production.

What You'll Do

Build and ship agents in close partnership with subject matter experts and operators.
Stand up MCP servers and connectors, moving from pre-production through design review into production.
Bootstrap skills, integrations, and evaluations on top of the AI platform, including the LLM gateway, shared RAG services, and MCP toolchain.
Run workshops with teams, teach them to use Claude Code, and translate their workflows into agent skills.
Hand off mature systems to platform and operations teams once they outgrow the bootstrap phase.
Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence so the next engineer moves faster.

Must-Have Experience

Shipped production agents using Claude Agent SDK, MCP, or an equivalent stack.
Production experience in at least one of Python, Node, or .NET, with the ability to move across the others.
Worked with a range of data stores, including relational, NoSQL, object/blob, vector, and document databases.
Operated end-to-end as a one-person team: designing, shipping, supporting, and handing off work.

Traits

Strong written and verbal communication, with comfort presenting to non-engineers.
Pragmatic judgment on when to ship, when to harden, and when to hand off.
Systems thinking with a focus on failure modes; AI writes most of the code, but you own the outcome.
Comfort tasking and running multiple agents in parallel as part of your daily workflow.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91097138
Position Id: JPC -5110
Posted 8 hours ago

Fitment

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Contact the job poster

Jainil Pancholi

Recruiter @ Wise Skulls Corp.

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Job Details

Skills

Forward Deployed Engineering
AI Agents
Agentic AI
Claude Agent SDK
Model Context Protocol
MCP
MCP Servers
AI Agent Development
Python
Node.js
.NET
Large Language Models
LLMs
Retrieval-Augmented Generation
RAG
AI Integrations
REST APIs
Vector Databases

Summary

JD:

Client is embedding AI agents directly into Legal systems and the infrastructure that runs them.

What You'll Do

Build and ship agents in close partnership with subject matter experts and operators.
Stand up MCP servers and connectors, moving from pre-production through design review into production.
Bootstrap skills, integrations, and evaluations on top of the AI platform, including the LLM gateway, shared RAG services, and MCP toolchain.
Run workshops with teams, teach them to use Claude Code, and translate their workflows into agent skills.
Hand off mature systems to platform and operations teams once they outgrow the bootstrap phase.
Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence so the next engineer moves faster.

Must-Have Experience

Shipped production agents using Claude Agent SDK, MCP, or an equivalent stack.
Production experience in at least one of Python, Node, or .NET, with the ability to move across the others.
Worked with a range of data stores, including relational, NoSQL, object/blob, vector, and document databases.
Operated end-to-end as a one-person team: designing, shipping, supporting, and handing off work.

Traits

Strong written and verbal communication, with comfort presenting to non-engineers.
Pragmatic judgment on when to ship, when to harden, and when to hand off.
Systems thinking with a focus on failure modes; AI writes most of the code, but you own the outcome.
Comfort tasking and running multiple agents in parallel as part of your daily workflow.

Dice Id: 91097138
Position Id: JPC -5110
Posted 8 hours ago

Fitment